Senior Technology Architect – Cloud Platform (Google Machine Learning)

Responsibilities

• Design and deploy AI/ML and GenAI solutions

• Build scalable RAG and agentic AI systems

• Develop and maintain ML/LLM pipelines and cloud-native AI services

• Implement CI/CD for ML systems and production deployments

• Architect multi-agent orchestration workflows and enterprise AI solutions

Core Requirements

• Strong hands-on experience building RAG pipelines and vector databases

• Expertise in LangChain, LangGraph, CrewAI, multi-agent orchestration

• Experience in agentic AI patterns (routing, memory, guardrails, recovery)

• Strong Python development with ML frameworks

• Experience with LLMs, transformers, Hugging Face ecosystem

• Strong experience in LLM fine-tuning (LoRA, QLoRA, PEFT)

• Hands-on with vector DBs: Pinecone, FAISS, ChromaDB, Weaviate

• Experience in MLOps/LLMOps pipelines (MLflow, DVC, SageMaker, Vertex AI, GitHub Actions)

• Cloud experience:

  • AWS (SageMaker, Lambda, EKS, S3, EC2, Step Functions, Glue)

  • GCP (Vertex AI)

• API & microservices using FastAPI, REST, Docker, Kubernetes

• Experience in embedding lifecycle & semantic search

• Multi-agent workflow design using LangGraph, CrewAI

Key Skills (Must Have)

• GenAI, Agentic AI, ML, Data Science, RAG, LLMs

• Python, PyTorch, TensorFlow

• MLOps / LLMOps, CI/CD

Nice to Have

• GCP (Vertex AI)

• Prompt Engineering

• Azure OpenAI exposure

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